Advanced Numerical Algorithms with Python/Scipy
MCNAcourses ▸ FMNN25/NUMN25 – autumn 2018

Background literature

This page collects some background material. This material is password protected. You get the password in the course.

Literature related to Project 2
  1. Reference [1]: Fletcher: Practical Methods of Optimization (you need to access the pages from an university access point.)
  2. Reference [2]: Führer/ Solem/ Verdier: Computing with Python Pearson 2014: Chapter on testing
  3. Practical Optimization by Antoniou and Lu read Section 4.8 on pages 106 ff (you need your Stil account for access)